Statistics Is Easy
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Statistics Is Easy 2nd Edition
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Author : Dennis Shasha
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2010-06-06
Statistics Is Easy 2nd Edition written by Dennis Shasha and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-06 with Technology & Engineering categories.
Statistics is the activity of inferring results about a population given a sample. Historically, statistics books assume an underlying distribution to the data (typically, the normal distribution) and derive results under that assumption. Unfortunately, in real life, one cannot normally be sure of the underlying distribution. For that reason, this book presents a distribution-independent approach to statistics based on a simple computational counting idea called resampling. This book explains the basic concepts of resampling, then system atically presents the standard statistical measures along with programs (in the language Python) to calculate them using resampling, and finally illustrates the use of the measures and programs in a case study. The text uses junior high school algebra and many examples to explain the concepts. Th e ideal reader has mastered at least elementary mathematics, likes to think procedurally, and is comfortable with computers. Table of Contents: The Basic Idea / Pragmatic Considerations when Using Resampling / Terminology / The Essential Stats / Case Study: New Mexico's 2004 Presidential Ballots / References / Bias Corrected Confidence Intervals / Appendix B
Statistics Is Easy
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Author : Manpreet Singh Katari
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Statistics Is Easy written by Manpreet Singh Katari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Mathematics categories.
Computational analysis of natural science experiments often confronts noisy data due to natural variability in environment or measurement. Drawing conclusions in the face of such noise entails a statistical analysis. Parametric statistical methods assume that the data is a sample from a population that can be characterized by a specific distribution (e.g., a normal distribution). When the assumption is true, parametric approaches can lead to high confidence predictions. However, in many cases particular distribution assumptions do not hold. In that case, assuming a distribution may yield false conclusions. The companion book Statistics is Easy, gave a (nearly) equation-free introduction to nonparametric (i.e., no distribution assumption) statistical methods. The present book applies data preparation, machine learning, and nonparametric statistics to three quite different life science datasets. We provide the code as applied to each dataset in both R and Python 3. We also include exercises for self-study or classroom use.
Statistics Is Easy
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Author : Dennis Elliott Shasha
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2008
Statistics Is Easy written by Dennis Elliott Shasha and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Mathematics categories.
Statistics is the activity of inferring results about a population given a sample. Historically, statistics books assume an underlying distribution to the data (typically, the normal distribution) and derive results under that assumption. Unfortunately, in real life, one cannot normally be sure of the underlying distribution. For that reason, this book presents a distribution-independent approach to statistics based on a simple computational counting idea called resampling. This book explains the basic concepts of resampling, then systematically presents the standard statistical measures along with programs (in the language Python) to calculate them using resampling, and finally illustrates the use of the measures and programs in a case study. The text uses junior high school algebra and many examples to explain the concepts. The ideal reader has mastered at least elementary mathematics, likes to think procedurally, and is comfortable with computers. Table of Contents: The Basic Idea / Bias Corrected Confidence Intervals / Pragmatic Considerations When Using Resampling / Terminology / The Essential Stats / Case Study: New Mexico's 2004 Presidential Ballots / References
Statistics As Easy As 1 2 3 With Microsoft Excel For Windows
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Author : Christian N. Madu
language : en
Publisher: Chi Publishers Inc
Release Date : 2003
Statistics As Easy As 1 2 3 With Microsoft Excel For Windows written by Christian N. Madu and has been published by Chi Publishers Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Business & Economics categories.
This title has been written as a basic statistical applications book for non-statistics majors. It focuses on the use of Microsoft Excel Add-Ins function in analyzing basic statistical problems. It is intended for beginners, and it introduces statistical concepts in ways that may be relevant to practitioners. The data used throughout the book is based on responses to common social issues. This way, the book can be relevant to multiple users with different backgrounds. The topics covered include: questionnaire design, descriptive statistics; hypothesis testing; confidence interval estimation; nonparametric statistics; and simple and multiple regression analysis. of statistics. Students majoring in business, health sciences, and social sciences are also likely to find the book useful in understanding statistical concepts. Practitioners who may be interested in exploring the power of Microsoft Excel for statistical analysis should also find the book very useful.
Statistics Is Easy
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Author : Dennis Shasha
language : en
Publisher: Springer Nature
Release Date : 2008-07-28
Statistics Is Easy written by Dennis Shasha and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-28 with Mathematics categories.
Statistics is the activity of inferring results about a population given a sample. Historically, statistics books assume an underlying distribution to the data (typically, the normal distribution) and derive results under that assumption. Unfortunately, in real life, one cannot normally be sure of the underlying distribution. For that reason, this book presents a distribution-independent approach to statistics based on a simple computational counting idea called resampling. This book explains the basic concepts of resampling, then systematically presents the standard statistical measures along with programs (in the language Python) to calculate them using resampling, and finally illustrates the use of the measures and programs in a case study. The text uses junior high school algebra and many examples to explain the concepts. The ideal reader has mastered at least elementary mathematics, likes to think procedurally, and is comfortable with computers. Table of Contents: The Basic Idea / Bias Corrected Confidence Intervals / Pragmatic Considerations When Using Resampling / Terminology / The Essential Stats / Case Study: New Mexico's 2004 Presidential Ballots / References
Statistics An Introduction Teach Yourself
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Author : Alan Graham
language : en
Publisher: Hachette UK
Release Date : 2017-04-06
Statistics An Introduction Teach Yourself written by Alan Graham and has been published by Hachette UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-06 with Business & Economics categories.
Do you need to gain confidence with handling numbers and formulae? Do you want a clear, step-by-step guide to the key concepts and principles of statistics? Nearly all aspects of our lives can be subject to statistical analysis. Statistics: An Introduction shows you how to interpret, analyze and present figures. Assuming minimal knowledge of maths and using examples from a wide variety of everyday contexts, this book makes often complex concepts and techniques easy to get to grips with. This new edition has been fully updated. Whether you want to understand the statistics that you are bombarded with every day or are a student or professional coming to statistics from a wide range of disciplines, Statistics: An Introduction covers it all.
Statistics The Easy Way
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Author : Douglas Downing
language : en
Publisher:
Release Date : 1997
Statistics The Easy Way written by Douglas Downing and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with categories.
Medical Statistics Made Easy 2e Now Superseded By 3e
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Author : M. Harris
language : en
Publisher: Scion Publishing Ltd
Release Date : 2008-02-29
Medical Statistics Made Easy 2e Now Superseded By 3e written by M. Harris and has been published by Scion Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-29 with Medical categories.
This new edition of Medical Statistics Made Easy 2nd edition enables readers to understand the key statistical techniques used throughout the medical literature. Featuring a comprehensive updating of the 'Statistics at work' section, this new edition retains a consistent, concise, and user-friendly format. Each technique is graded for ease of use and frequency of appearance in the mainstream medical journals. Medical Statistics Made Easy 2nd edition is essential reading for anyone looking to understand: * confidence intervals and probability values * numbers needed to treat * t tests and other parametric tests * survival analysis If you need to understand the medical literature, then you need to read this book. Reviews: "This book helps medical students understand the basic concepts of medical statistics starting in a 'step-by-step approach'. The authors have designed the book assuming that the reader has no prior knowledge. It focuses on the most common statistical concepts that are likely to be faced in medical literature. All chapters are concise and simple to understand. Each chapter starts with an introduction which consists of “how important” that particular statistical concept is, using a 'star' system. A 'thumbs-up' system shows how easy the statistical concept is to understand. Both these systems indicate time-efficient learning allowing yourself to focus on areas you find most difficult. Following this, there are worked out examples with exam-tips at the end of some chapters. The last chapter, 'Statistics at Work', shows how medical statistics is put into practice using worked out examples from renowned journals. This helps in assessing the reader’s own knowledge and gives them confidence in analysis of statistics of a journal. In conclusion, we would recommend this book as an introduction into medical statistics before plunging into the deep 'statistical' waters! It gives confidence to the reader in taking up the challenge of understanding statistics and [being] able to apply knowledge in analysing medical literature." Stefanie Zhao Lin Lip & Louise Murchison, Scottish Medical Journal, June 2010 "If ever there was a book that completely lived up to its title, this is it...Perhaps above everything, it is the chapter layout and design that makes this book stand out head and shoulders above the crowd. At the beginning of each chapter two questions are posed – how important is the subject in question and how difficult is it to understand? The first is answered on the basis of how often the subject is mentioned / used in papers published in mainstream medical journals. A star rating is then given from one to five with five stars implying use in the majority of papers published. The second question is answered by means of a ‘thumbs up’ grading system. The more thumbs, the easier the concept is to understand (maximum of five). This, of course, provides a route into statistics for even the most idle of uneducated individuals! Five stars and five thumbs must surely indicate time-efficient learning! At the end of each chapter exam tips (light bulb icon!) are given – I doubt anyone could ask for more! The whole way in which the authors have written this book is commendable; the chapters are succinct, easy to follow and a pleasure to read...Is it value for money? – a definite yes even at twice the price. Of course I never exaggerate but if you breathe, you should own this book!" Ian Pearce, Urology News, June 2010
Medical Statistics Made Easy
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Author : Michael Harris
language : en
Publisher: CRC Press
Release Date : 2003-12-05
Medical Statistics Made Easy written by Michael Harris and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-12-05 with Medical categories.
It is not necessary to know how to do a statistical analysis to critically appraise a paper. However, it is necessary to have a grasp of the basics, of whether the right test has been used and how to interpret the resulting figures. Short, readable, and useful, this book provides the essential, basic information without becoming bogged down in the
Chances Are
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Author : Nancy Pfenning
language : en
Publisher: PRUFROCK PRESS INC.
Release Date : 1998
Chances Are written by Nancy Pfenning and has been published by PRUFROCK PRESS INC. this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Probabilities categories.
Do you avoid teaching probability and statistics because the subjects seem confusing and complex? Are you less than sure about your knowledge of the topics? Let Chances Are . . . take you and your students on a fun and exciting mathematical journey none of you will ever forget! Filled with easy-to-understand explanations and creative activities, this book offers teachers a simple method for teaching probability and statistics in an enjoyable way. This book can serve as an introduction for any beginner, from gifted and advanced students in upper elementary school, to high school students needing enrichment or preparation for Advanced Placement Statistics or future college courses. From helping to win a card game, to making life-or-death medical decisions, the uses of probability and statistics are virtually endless. For teachers of elementary students, the book offers simple, hands-on lessons and activities about probability and basic statistics. For teachers of older students, advanced statistical concepts are discussed and activities are provided. Reviewers have found the book's level to be appropriate for a wide range of ages, from fourth graders to post-secondary students.